pairedCI (version 0.5-4)

paired.Loc: Confidence intervals for the ratio of locations of two paired samples

Description

This function computes confidence intervals for the ratio of locations with matched pairs. Expected values must be positive.

Usage

paired.Loc(x, y, method = "parametric", exact = FALSE, conf.level = 0.95, alternative = "two.sided")

Arguments

x

sample 1; a (non-empty) numeric vector of data values

y

sample 2; a (non-empty) numeric vector of data values

method

either "parametric" (default) or "nonparametric"

exact

a logical indicating whether the exact nonparametric confidence interval should be computed

conf.level

confidence level of the interval with 95% as default

alternative

type of alternative hypothesis, one of "two.sided" (default), "greater" or "less"

Value

estimate

ratio of means (x/y)

lower

lower confidence bound

upper

upper confidence bound

References

J. Ogawa (1983): On the "confidence bounds" of the ratio of the means of a bivariate normal distribution. Ann. Inst. Statist. Math., 35, 41-48.

B.M. Bennett (1965): Confidence limits for a ratio using Wilcoxon's signed rank test. Biometrics, 21, 231-234.

K.F. Yee (1988): Confidence-interval approach for evaluating bias in laboratory methods. Journal of Automatic Chemistry, 10 (3), 144-146.

Examples

astra <- c(2.4, 4.8, 4, 4.9, 3.9, 4.1, 3.8, 3.5, 4.6, 2.9, 4.9, 3.7, 4.8, 3.7, 3.8, 4.1, 4.2, 4.3, 3.9, 3.8)

flame <- c(2.4, 4.8, 4, 4.7, 3.9, 4.2, 3.8, 3.3, 4.6, 3, 5, 3.6, 4.9, 3.8, 3.9, 4.6, 4.2, 4.4, 4, 3.4)

paired.Loc(astra, flame, conf.level=0.9, method="parametric")
paired.Loc(astra, flame, conf.level=0.9, method="nonparametric")